Predicting microRNA-disease associations by integrating multiple biological information. - Wei Lan; Jianxin Wang 001; Min Li 007; Jin Liu 012; Yi Pan 001 (BIBM, 2015)

Predicting drug-target interaction using positive-unlabeled learning. - Wei Lan; Jianxin Wang 001; Min Li 007; Jin Liu 012; Yaohang Li; Fang-Xiang Wu; Yi Pan 001 (Neurocomputing, 2016)

LDAP: a web server for lncRNA-disease association prediction. - Wei Lan; Min Li 007; Kaijie Zhao; Jin Liu 012; Fang-Xiang Wu; Yi Pan 001; Jianxin Wang 001 (Bioinform., 2017)

Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. - Jin Liu 012; Min Li 007; Yi Pan 001; Wei Lan; Ruiqing Zheng; Fang-Xiang Wu; Jianxin Wang 001 (Complex., 2017)

KSIBW: Predicting Kinase-Substrate Interactions Based on Bi-random Walk. - Canshang Deng; Qingfeng Chen; Zhixian Liu; Ruiqing Zheng; Jin Liu 012; Jianxin Wang 001; Wei Lan (ISBRA, 2018)

Applications of deep learning to MRI images: A survey. - Jin Liu 012; Yi Pan 001; Min Li 007; Ziyue Chen; Lu Tang; Chengqian Lu; Jianxin Wang 001 (Big Data Min. Anal., 2018)

MMM: classification of schizophrenia using multi-modality multi-atlas feature representation and multi-kernel learning. - Jin Liu 012; Xiang Wang; Xiangrong Zhang; Yi Pan 001; Xiaosheng Wang; Jianxin Wang 001 (Multim. Tools Appl., 2018)

Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities. - Wei Lan; Jianxin Wang 001; Min Li 007; Jin Liu 012; Fang-Xiang Wu; Yi Pan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. - Jin Liu 012; Min Li 007; Wei Lan; Fang-Xiang Wu; Yi Pan 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Improving Alzheimer's Disease Classification by Combining Multiple Measures. - Jin Liu 012; Jianxin Wang 001; Zhenjun Tang; Bin Hu 001; Fang-Xiang Wu; Yi Pan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution. - Jianhong Cheng; Jin Liu 012; Liangliang Liu 001; Yi Pan 001; Jianxin Wang 001 (BIBM, 2019)

Mild Cognitive Impairment Identification Based on Multi-View Graph Convolutional Networks. - Jin Liu 012; Dejiao Zeng; Mingming Lu; Jianxin Wang 001 (CBD, 2019)

Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier. - Yazhou Kong; Jianliang Gao; Yunpei Xu; Yi Pan 001; Jianxin Wang 001; Jin Liu 012 (Neurocomputing, 2019)

Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network. - Qingfeng Chen; Canshang Deng; Wei Lan; Zhixian Liu; Ruiqing Zheng; Jin Liu 012; Jianxin Wang 001 (J. Comput. Biol., 2019)

Joint Learning of Primary and Secondary Labels based on Multi-scale Representation for Alzheimer's Disease Diagnosis. - Hong-Dong Li; Rui Guo; Junjian Li; Jianxin Wang 001; Yi Pan 001; Jin Liu 012 (BIBM, 2020)

CircR2Cancer: a manually curated database of associations between circRNAs and cancers. - Wei Lan; Mingrui Zhu; Qingfeng Chen; Baoshan Chen; Jin Liu 012; Min Li 007; Yi-Ping Phoebe Chen (Database J. Biol. Databases Curation, 2020)

Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks. - Jin Liu 012; Guanxin Tan; Wei Lan; Jianxin Wang 001 (BMC Bioinform., 2020)

Inferring LncRNA-disease associations based on graph autoencoder matrix completion. - Ximin Wu; Wei Lan; Qingfeng Chen; Yi Dong; Jin Liu 012; Wei Peng 004 (Comput. Biol. Chem., 2020)

Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification. - Jin Liu 012; Yi Pan 001; Fang-Xiang Wu; Jianxin Wang 001 (Neurocomputing, 2020)

Improved ASD classification using dynamic functional connectivity and multi-task feature selection. - Jin Liu 012; Yu Sheng; Wei Lan; Rui Guo; Yufei Wang; Jianxin Wang 001 (Pattern Recognit. Lett., 2020)

BEA-SegNet: Body and Edge Aware Network for Medical Image Segmentation. - Hulin Kuang; Yixiong Liang; Ning Liu; Jin Liu 012; Jianxin Wang 001 (BIBM, 2021)

MTFIL-Net: automated Alzheimer's disease detection and MMSE score prediction based on feature interactive learning. - Jin Liu 012; Xu Tian; Jianxin Wang 001; Rui Guo; Hulin Kuang (BIBM, 2021)

ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention. - Lei Xu; Jianhong Cheng; Jin Liu 012; Hulin Kuang; Fan Wu; Jianxin Wang 001 (BIBM, 2021)

Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations. - Jianhong Cheng; Jin Liu 012; Meilin Jiang; Hailin Yue; Lin Wu; Jianxin Wang 001 (ICASSP, 2021)

Reform and Practice of Open Teaching Mode Based on Innovation Ability Training. - Guihua Duan; Yu Sheng; Ping Zhong 002; Jin Liu 012; Hongdong Li; Ying An (ICCSE, 2021)

A New Deep Learning Training Scheme: Application to Biomedical Data. - Jianhong Cheng; Qichang Zhao; Lei Xu; Jin Liu 012 (ISBRA, 2021)

MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning. - Jin Liu 012; Dejiao Zeng; Rui Guo; Mingming Lu; Fang-Xiang Wu; Jianxin Wang 001 (Clust. Comput., 2021)

Prediction of circRNA-miRNA Associations Based on Network Embedding. - Wei Lan; Mingrui Zhu; Qingfeng Chen; Jianwei Chen; Jin Ye 003; Jin Liu 012; Wei Peng 004; Shirui Pan (Complex., 2021)

ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. - Qingfeng Chen; Dehuan Lai; Wei Lan; Ximin Wu; Baoshan Chen; Jin Liu 012; Yi-Ping Phoebe Chen; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. - Xinyu Li; Jianhong Cheng; Jin Liu 012; Hulin Kuang; Chengchao Shen; Pei Yang; Jianxin Wang 001 (BIBM, 2022)

MEST: Multi-plane Embedding and Spatial-temporal Transformer for Parkinson's disease diagnosis. - Jin Liu 012; Hao Du; Qian Bi; Haiyan Liao; Yi Pan 001 (BIBM, 2022)

Integrating Multi-scale Feature Representation and Ensemble Learning for Schizophrenia Diagnosis. - Manna Xiao; Hulin Kuang; Jin Liu 012; Yan Zhang; Yizhen Xiang; Jianxin Wang 001 (BIBM, 2022)

Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis. - Junbin Mao; Yu Sheng; Wei Lan; Xu Tian; Jin Liu 012; Yi Pan 001 (ICIRA (1), 2022)

KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. - Wei Lan; Yi Dong; Qingfeng Chen; Ruiqing Zheng; Jin Liu 012; Yi Pan 001; Yi-Ping Phoebe Chen (Briefings Bioinform., 2022)

Inferring gene regulatory network via fusing gene expression image and RNA-seq data. - Xuejian Li; Shiqiang Ma; Jin Liu 012; Jijun Tang; Fei Guo 001 (Bioinform., 2022)

Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder. - Fangyu Zhang; Yanjie Wei; Jin Liu 012; Yanlin Wang 003; Wenhui Xi; Yi Pan 001 (Comput. Biol. Medicine, 2022)

DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis. - Jianhong Cheng; Hulin Kuang; Qichang Zhao; Yahui Wang; Lei Xu; Jin Liu 012; Jianxin Wang 001 (Future Gener. Comput. Syst., 2022)

MAGE: Automatic diagnosis of autism spectrum disorders using multi-atlas graph convolutional networks and ensemble learning. - Yufei Wang; Jin Liu 012; Yizhen Xiang; Jianxin Wang 001; Qingyong Chen; Jing Chong (Neurocomputing, 2022)

DARC: Deep adaptive regularized clustering for histopathological image classification. - Junjian Li; Jin Liu 012; Hailin Yue; Jianhong Cheng; Hulin Kuang; Harrison X. Bai; Yu-Ping Wang 002; Jianxin Wang 001 (Medical Image Anal., 2022)

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. - Hailin Yue; Jin Liu 012; Junjian Li; Hulin Kuang; Jinyi Lang; Jianhong Cheng; Lin Peng; Yongtao Han; Harrison X. Bai; Yu-Ping Wang 002; Qifeng Wang; Jianxin Wang 001 (Medical Image Anal., 2022)

Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. - Jianhong Cheng; Jin Liu 012; Hailin Yue; Harrison X. Bai; Yi Pan 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. - Jianhong Cheng; Wei Zhao 040; Jin Liu 012; Xingzhi Xie; Shangjie Wu; Liangliang Liu 001; Hailin Yue; Junjian Li; Jianxin Wang 001; Jun Liu 075 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. - Wei Lan; Yi Dong; Qingfeng Chen; Jin Liu 012; Jianxin Wang 001; Yi-Ping Phoebe Chen; Shirui Pan (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. - Wei Lan; Dehuan Lai; Qingfeng Chen; Ximin Wu; Baoshan Chen; Jin Liu 012; Jianxin Wang 001; Yi-Ping Phoebe Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading. - Jianhong Cheng; Min Gao; Jin Liu 012; Hailin Yue; Hulin Kuang; Jun Liu 075; Jianxin Wang 001 (IEEE J. Biomed. Health Informatics, 2022)

A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping. - Jianhong Cheng; Jin Liu 012; Hulin Kuang; Jianxin Wang 001 (IEEE Trans. Medical Imaging, 2022)

CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection. - Junwen Duan; Fangyuan Wei; Jin Liu 012; Hongdong Li; Tianming Liu 001; Jianxin Wang 001 (ACL (Findings), 2023)

Improving Medical Image Denoising via a Lightweight Plug-and-play Module. - Lei Ma; Hulin Kuang; Jin Liu 012; Chengchao Shen; Jianxin Wang 001 (BIBM, 2023)

FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction. - Junbin Mao; Hanhe Lin; Xu Tian; Yi Pan 001; Jin Liu 012 (BIBM, 2023)

Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation. - Chenhui Wang; Hulin Kuang; Jin Liu 012; Junjian Li; Hailin Yue; Jianxin Wang 001 (BIBM, 2023)

M3CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping. - Jingxiao Yao; Jin Liu 012; Jianhong Cheng; Hulin Kuang; Jian-Xin Wang 001 (BIBM, 2023)

A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer. - Hailin Yue; Jin Liu 012; Hulin Kuang; Jianhong Cheng; Junjian Li; Jianxin Wang 001 (BIBM, 2023)

Enhancing Database Principles Teaching with ChatGPT-Like Language Models. - Junwen Duan; Fei Guo 001; Jin Liu 012; Hongdong Li (ICCSE (1), 2023)

Multi-atlas Representations Based on Graph Convolutional Networks for Autism Spectrum Disorder Diagnosis. - Jin Liu 012; Jianchun Zhu; Xu Tian; Junbin Mao; Yi Pan 001 (PRCV (13), 2023)

Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery. - Junbin Mao; Jin Liu 012; Hanhe Lin; Hulin Kuang; Shirui Pan; Yi Pan 001 (CoRR, 2023)

Breaking the Complexity Barrier in Compositional Minimax Optimization. - Jin Liu 012; Xiaokang Pan; Junwen Duan; Hongdong Li; Youqi Li; Zhe Qu (CoRR, 2023)

Benchmarking of computational methods for predicting circRNA-disease associations. - Wei Lan; Yi Dong; Hongyu Zhang; Chunling Li; Qingfeng Chen; Jin Liu 012; Jianxin Wang 001; Yi-Ping Phoebe Chen (Briefings Bioinform., 2023)

BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation. - Hulin Kuang; Yahui Wang; Yixiong Liang; Jin Liu 012; Jianxin Wang 001 (IEEE J. Biomed. Health Informatics, 2023)

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. - Jin Liu 012; Xiaokang Pan; Junwen Duan; Hongdong Li; Youqi Li; Zhe Qu (AAAI, 2024)

Source-Free Domain Adaptation for Millimeter Wave Radar Based Human Activity Recognition. - Jin Liu 012; Dejiao Zeng; Ludi Li; Hanhe Lin; Xu Tian (ICASSP, 2024)

scCoRR: A Data-Driven Self-correction Framework for Labeled scRNA-Seq Data. - Yongxin He; Jin Liu 012; Min Li 007; Ruiqing Zheng (ISBRA (2), 2024)

A Novel Dual Interactive Network for Parkinson's Disease Diagnosis Based on Multi-modality Magnetic Resonance Imaging. - Jin Liu 012; Hao Du; Junbin Mao; Jianchun Zhu; Xu Tian (ISBRA (2), 2024)

scMLC: an accurate and robust multiplex community detection method for single-cell multi-omics data. - Yuxuan Chen; Ruiqing Zheng; Jin Liu 012; Min Li 007 (Briefings Bioinform., 2024)

CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification. - Jin Liu 012; Weixing Zeng; Shichao Kan; Min Li 007; Ruiqing Zheng (Briefings Bioinform., 2024)

Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction. - Jin Liu 012; Xu Tian; Hanhe Lin; Hong-Dong Li; Yi Pan 001 (Big Data Min. Anal., 2024)

Diagnosis of Parkinson's Disease Based on Hybrid Fusion Approach of Offline Handwriting Images. - Shanyu Dong; Jin Liu 012; Jianxin Wang 001 (IEEE Signal Process. Lett., 2024)

Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. - Rui Guo; Xu Tian; Hanhe Lin; Stephen J. McKenna; Hong-Dong Li; Fei Guo 001; Jin Liu 012 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis. - Jin Liu 012; Hao Du; Rui Guo; Harrison X. Bai; Hulin Kuang; Jianxin Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans. - Hulin Kuang; Yahui Wang; Jin Liu 012; Jie Wang 067; Quanliang Cao; Bo Hu; Wu Qiu; Jianxin Wang 001 (IEEE Trans. Medical Imaging, 2024)

Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI. - Jianhong Cheng; Hulin Kuang; Songhan Yang; Hailin Yue; Jin Liu 012; Jianxin Wang (Big Data Min. Anal., 2025)

CFINet: Cross-Modality MRI Feature Interaction Network for Pseudoprogression Prediction of Glioblastoma. - Ya Lv; Jin Liu 012; Xu Tian; Pei Yang; Yi Pan 001 (J. Comput. Biol., 2025)

Large vessel occlusion identification network with vessel guidance and asymmetry learning on CT angiography of acute ischemic stroke patients. - Hulin Kuang; Xinyuan Liu; Jin Liu 012; Shulin Liu; Shuai Yang; Weihua Liao; Wu Qiu; Guanghua Luo; Jianxin Wang 001 (Medical Image Anal., 2025)

Fusion of brain imaging genetic data for alzheimer's disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks. - Wei Peng 004; Yanhan Ma; Chunshan Li; Wei Dai 012; Xiaodong Fu; Li Liu 032; Lijun Liu; Jin Liu 012 (Neural Networks, 2025)

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis. - Xu Tian; Hong-Dong Li; Hanhe Lin; Chao Li 031; Yu-Ping Wang; Harrison X. Bai; Wei Lan; Jin Liu 012 (Neural Networks, 2025)

Asymmetric patch sampling for contrastive learning. - Chengchao Shen; Jianzhong Chen; Shu Wang; Hulin Kuang; Jin Liu 012; Jianxin Wang 001 (Pattern Recognit., 2025)

ASurvey: Spatiotemporal Consistency in Video Generation. - Zhiyu Yin; Kehai Chen; Xuefeng Bai 001; Ruili Jiang; Juntao Li; Hongdong Li; Jin Liu 012; Yang Xiang 003; Jun Yu; Min Zhang 005 (CoRR, 2025)

Toward Integrating Federated Learning With Split Learning via Spatio-Temporal Graph Framework for Brain Disease Prediction. - Junbin Mao; Jin Liu 012; Xu Tian; Yi Pan 001; Emanuele Trucco; Hanhe Lin (IEEE Trans. Medical Imaging, 2025)

CA2CL: Cluster-Aware Adversarial Contrastive Learning for Pathological Image Analysis. - Junjian Li; Hulin Kuang; Jin Liu 012; Hailin Yue; Jianxin Wang 001 (IEEE J. Biomed. Health Informatics, 2025)

Dynamic Association Optimization in RIS-Enabled Mobile Wireless Systems. - Yuyin Ma; Kaoru Ota; Mianxiong Dong; Shengwei Tian; Jin Liu 012 (IEEE Wirel. Commun. Lett., 2025)